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4 дня назад

Senior Principal Scientist, Agentic Systems Development for Drug Discovery

168 000 - 252 000$
Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Principal Scientist, Agentic Systems Development for Drug Discovery (Agentic AI/cheminformatics): Building, testing, and deploying AI-enabled scientific workflows and agentic systems for small-molecule and protein drug discovery with an accent on scientific computational methods, cheminformatics, and production-grade software. Focus on designing evaluation strategies, orchestrating multi-step reasoning, and integrating scalable AI solutions with research and engineering systems.

Location: Boston, Massachusetts, United States; hybrid with three days per week onsite. An onsite option is also available five days per week with ad hoc flexibility.

Salary: $168,000–$252,000 annual base salary, plus potential annual bonus and equity awards.

Company

Vertex is a global biotechnology company investing in scientific innovation.

What you will do

  • Translate scientific requirements into agentic AI solutions that autonomously reason, plan, and execute complex tasks.
  • Build, test, and deploy AI-enabled solutions for small-molecule and protein drug discovery.
  • Collaborate with computational scientists, software engineers, and cross-functional research teams on scalable AI systems.
  • Apply software engineering, DevOps, CI/CD, and compliance practices to production-grade scientific applications.
  • Design testing, evaluation, and validation strategies for agentic AI systems.
  • Prototype emerging agentic AI and generative AI capabilities and assess their scientific impact.

Requirements

  • Ph.D. in Computational Chemistry, Cheminformatics, or a related scientific discipline.
  • More than 8 years of experience in scientific software development applied to drug discovery programs.
  • Expertise in small-molecule computational methods and cheminformatics.
  • Experience developing, deploying, and managing AI-enabled scientific products, platforms, or applications.
  • Strong Python, machine learning, AI, system design, software development, CI/CD, and DevOps skills.
  • Ability to communicate technical trade-offs and collaborate across discovery research, computational sciences, data science, and engineering.

Culture & Benefits

  • Collaborative work across computational sciences, research teams, and Digital Technology & Engineering.
  • Medical, dental, and vision benefits.
  • Generous paid time off, including summer and winter company shutdowns.
  • Educational assistance, including student loan repayment programs.
  • Commuting subsidy, charitable donation matching, and 401(k).

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